Begin to learn how to manage and analyze bit data from ground zero to become a hero in a big data and analytics world in order to better utilize data asset in understanding customers, business, and the world around us. Our data scientists will share their stories about how they battle with large-scale data. You will learn a way to build and improve analytics capability within your organization

1. build your data superpower within your organization
Thanachart Ritbumroong, Ph.D.

2. □ KNOW WHAT TO OFFER
□ KNOW WHO TO TARGET
□ KNOW WHEN TO CONTACT
□ KNOW WHERE TO FIND
□ KNOW WHEY THEY BUY
□ KNOW HOW MUCH TO PRICE

4. ACQUIRE STORE ANALYZE MONETIZE
internal
partner
external
explicit
implicit
transactions
location
opinion
preference
hardware software
business
people
team
skills
business
model
domain
expert
scalability
real-time

5. https://datafloq.com/read/three-ways-get-your-customers-share-data/834
1)Be transparent
2)Offer a way to
opt out
3)Offer benefits

6. iBeacon can provide
immediate benefits to
customers
It also help collect how customers
navigate through a store.

7. Augmented
Reality
is used to
captured
implicit
preferences.

8. Using Text Analytics to analyze Social Media
reveal what customers dislike
about their experience.

10. Volume
Velocity
Variety
Veracity

11. https://www.study.monash/__data/assets/image/0010/363097/Data-Science-Education-at-Monash-Monash-University.jpg

12. the ability to look at things differently

13. Data Scientist: The Sexiest Job of the 21st Century

14. data scientist
visualization engineer
data engineer
project manager

15. 0
1
2
3
4
5
Business
Acumen
Analytics
Modeling
VisualizationData Wrangling
Task
Management
data scientist
Perception:
Preferred programming & tools:
can do some magic with numbers
R, Python, SQL, BI tools, excel, powerpoint, etc.
Actual task:
clean data
calculate mean and summation
sometimes do some modeling
Where to find:
unknown, rare
(Ph.D. newly graduates – they are
poor, hungry, and depressed)

16. 0
1
2
3
4
5
Business
Acumen
Analytics
Modeling
VisualizationData Wrangling
Task
Management
data engineer
Perception:
Preferred programming & tools:
prepare any data in any format desired
SQL, ETL tools, any programming for cleansing data
Actual task:
clean data
clean data
clean data
Where to find:
ex-ETL developers (good one)

17. 0
1
2
3
4
5
Business
Acumen
Analytics
Modeling
VisualizationData Wrangling
Task
Management
visualization engineer
Perception:
Preferred programming & tools:
turn any data into beautiful and meaningful visuals
SQL, excel, and BI tools
Actual task:
visualize data
create report
query data
Where to find:
ex-BI developers (good one)

18. project manager
0
1
2
3
4
5
Business
Acumen
Analytics
Modeling
VisualizationData Wrangling
Task
Management
Perception:
Preferred programming & tools:
deliver projects under impossible timeline, budget, and
quality
excel, powerpoint, and every tool which team are using
Actual task:
meeting
chasing
crying
Where to find:
ex-BI project managers (good one)

20. SKILLS REQUIRED
 BUSINESS KNOWLEDGE
 LOGICAL THINKING
 QUESTIONING

21. SKILLS REQUIRED
 DATABASE
 DATA SCRAPING

22. SKILLS REQUIRED
 SQL, R, PYTHON
 PROGRAMMING
 DATA CLEANSING

23. SKILLS REQUIRED
 SQL, R, PYTHON
 PROGRAMMING
 STATISTICS

24. SKILLS REQUIRED
 SQL, R, PYTHON
 STATISTICS
 MACHINE LEARNING

25. SKILLS REQUIRED
 SQL, R, PYTHON
 STATISTICS
 MACHINE LEARNING

26. SKILLS REQUIRED
 BUSINESS KNOWLEDGE
 LOGICAL THINKING
 REASONING